Prioritizing Disease-Critical Variants, Genes, and Cell Types Using Genetic and Genomic Data
During this seminar, you’ll hear from Dr. Kushal Dey, an investigator at Memorial Kettering Cancer Center, as he discusses his work with statistical and machine learning models that integrate genetic and genomic data.
Through his research at the Kushal Dey Lab, Dr. Dey integrates genetic and genomic data to:
- prioritize variants, genes, and cell types.
- decode the causal, functional architecture underlying heritable complex diseases, including heritable cancers.
This presentation is a part of the Sequencing Strategies for Population and Cancer Epidemiology Studies(SeqSPACE) webinar series. Hosted by NCI’s Epidemiology and Genomics Research Program, this series provides an opportunity for NCI grantees and other interested individuals to share lessons learned and information regarding the application of next generation sequencing to cancer epidemiology studies.
Dr. Dey is an assistant member and Josie Robertson investigator in the Department of Computational and Systems Biology at the Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center. He is also an assistant professor at the Gerstner Sloan Kettering Graduate School of Biomedical Sciences.
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